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      Comprehensive evaluation for the sustainable development of fresh agricultural products logistics enterprises based on combination empowerment-TOPSIS method

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          Abstract

          To solve the problems of environmental pollution and resource waste caused by the rapid development of cold chain logistics of fresh agricultural products and improve the competitiveness of logistics enterprises in the market, a performance evaluation method of cold chain logistics enterprises based on the combined empowerment-TOPSIS was proposed. Firstly, from the five dimensions of cold supply chain capacity, service quality, economic efficiency, informatization degree and development ability, a comprehensive evaluation system of logistics enterprises’ sustainable development is constructed, which consists of 16 indicators, such as storage and preservation capacity, distribution accuracy, and equipment input rate. Then, G1 method and entropy weight method are used to calculate the subjective and objective weights of the evaluation indicators, and the combined weights are calculated with the objective of minimizing the deviation of the subjective and objective weighted attributes. Finally, the TOPSIS method is used to calculate the comprehensive evaluation indicators. The results show that the established performance evaluation model can effectively evaluate the performance of fresh agricultural products logistics enterprises and provide theoretical basis for enterprise logistics management.

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          Most cited references23

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          Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS

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            A supply chain transparency and sustainability technology appraisal model for blockchain technology

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              A Delphi-AHP-TOPSIS based benchmarking framework for performance improvement of a cold chain

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                Author and article information

                Contributors
                Journal
                PeerJ Comput Sci
                PeerJ Comput Sci
                peerj-cs
                PeerJ Computer Science
                PeerJ Inc. (San Diego, USA )
                2376-5992
                12 December 2023
                2023
                : 9
                : e1719
                Affiliations
                [-1] College of Digital Technology and Engineering, Ningbo University of Finance & Economics , Ningbo, Zhejiang Province, China
                Article
                cs-1719
                10.7717/peerj-cs.1719
                10773874
                38192455
                3f03f48e-0971-40c1-b30f-42e7b4a5c480
                ©2023 Sun et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.

                History
                : 27 July 2023
                : 3 November 2023
                Funding
                Funded by: Zhejiang Provincial Philosophy and Social Sciences Planning Project
                Award ID: 21NDJC021Z
                Funded by: Natural Science Foundation of Ningbo city
                Award ID: 202003N4072
                This work was supported by the Zhejiang Provincial Philosophy and Social Sciences Planning Project (21NDJC021Z) and the Natural Science Foundation of Ningbo city (202003N4072). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Autonomous Systems
                Data Science
                Scientific Computing and Simulation
                Theory and Formal Methods

                fresh agricultural products,cold chain logistics enterprises,combination empowerment,g1 method,entropy weight method,topsis

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